code: def test_given_no_data_when_falsify_then_does_not_raise_error_but_cannot_evaluate():
      assert not falsify_graph(
          nx.DiGraph([("X", "Y"), ("Y", "Z")]), pd.DataFrame({})
      ).can_evaluate
  
      assert not falsify_graph(
          nx.DiGraph([("X", "Y"), ("Y", "Z")]), pd.DataFrame({"X": []})
      ).can_evaluate
  
imports: from functools import partial
  import networkx
  import numpy
  import pandas
  import pytest
  from flaky import flaky
  from dowhy.datasets import generate_random_graph
  from dowhy.gcm.falsify import FalsifyConst, _PermuteNodes, falsify_graph, run_validations, validate_cm, validate_lmc, validate_pd, validate_tpa
  from dowhy.gcm.independence_test.generalised_cov_measure import generalised_cov_based
  from dowhy.gcm.independence_test.kernel import kernel_based
  from dowhy.gcm.ml import create_linear_regressor
  from tests.gcm.independence_test.test_kernel import _generate_categorical_data
label_desc: Use image node_id 18 for calling a global function with example usage: test_given_no_data_when_falsify_then_does_not_raise_error_but_cannot_evaluate() without return types